/cs-pulse
/cs:pulse <topic> — Multi-source recency research. Grill-me intake (topic / angle / window / scope), then parallel Reddit + HN + Web (1 q/sec per platform), optional X/Twitter, cross-platform synthesis. Output: ${RESEARCH_DIR}/pulse/<slug>-<date>.md + full briefing in chat.
$ npx -y skills add alirezarezvani/claude-skills --agent claude-codeHow it fires
How this command gets triggered: by you, by Claude, or both.
- Fires itselfClaude auto-loads it when your prompt matches the work.
- You can call itInvoke it directly when you want it.
- Slash command
/cs-pulse
Context preview
What this command does when you run it.
/cs:pulse <topic> — Multi-source recency research. Grill-me intake (topic / angle / window / scope), then parallel Reddit + HN + Web (1 q/sec per platform), optional X/Twitter, cross-platform synthesis. Output: ${RESEARCH_DIR}/pulse/<slug>-<date>.md + full briefing in chat.
Command definition
cs-pulse.mdname: "cs-pulse"
description: "/cs:pulse <topic> — Multi-source recency research. Grill-me intake (topic / angle / window / scope), then parallel Reddit + HN + Web (1 q/sec per platform), optional X/Twitter, cross-platform synthesis. Output: ${RESEARCH_DIR}/pulse/<slug>-<date>.md + full briefing in chat."/cs:pulse — Multi-Source Recency Research
**Command:** `/cs:pulse <topic>`
The `cs-pulse` persona takes the pulse of a topic across Reddit, Hacker News, the open web, and (optionally) X/Twitter — within a configurable recent window — and synthesizes a single coherent briefing.
When to Run
- "What are people saying about X right now?"
- Competitor research with recency flavor
- Trend discovery / tool comparisons / audience sentiment
- Pre-content-creation reconnaissance
The skill ALSO triggers automatically without `/cs:pulse` when you use trigger phrases:
- "pulse on [topic]"
- "what's happening with [topic]"
- "what are people saying about [topic]"
- "current conversation about [topic]"
- "take the pulse of [topic]"
- "trending: [topic]"
- "find me info on [topic]"
`/cs:pulse` is the explicit form.
Forcing Intake (2–4 Questions, One at a Time)
| Q | Asks | Why | |---|---|---| | Q1 | Topic specificity (1–2 sentences, no vague nouns) | Vague Q1 → vague briefing. Refuses "AI" / "tech" once. | | Q2 | Angle: trend / sentiment / problems / opportunities / comparison | Dictates which platform's voice weights more in synthesis. Default: trend. | | Q3 | Time window: 7 / 14 / 30 / 60 / 90 days | Default: 30. 7d = breaking, 90d = sustained shift. | | Q4 | Platform scope (skip any?) | Asked only when angle suggests some platforms off-target. Default: all. |
What You Get
# [TOPIC] — Pulse (Last [N] Days)
*Generated: [DATE] | Angle: [trend|sentiment|problems|opportunities|comparison]*
## TL;DR
[2-3 sentences]
## Reddit
### Top Posts ... ### What Reddit Is Saying
## Hacker News
### Notable Stories ... ### What HN Is Saying
## Web
### Key Sources ... ### What the Web Is Saying
## X/Twitter (if available)
[Or: "Skipped — [reason]"]
## Cross-Platform Patterns
## Key Takeaways
## Content Angles (if applicable)
---
*Audit:* Queries sent: N. Sources received: M. Sources cited: K.
Saved to `${RESEARCH_DIR}/pulse/<topic-slug>-<YYYY-MM-DD>.md` AND pasted in chat.
Discipline
- **One intake question per turn.** Never bundle.
- **Refuse vague Q1 once.** Push back with examples; deliver with caveat if user won't narrow.
- **Parallel Phases 1–3** — Reddit + HN + Web concurrent. Sequential within platform. 1 q/sec.
- **Source discipline** — cite only session-call results. `[Background]` for training knowledge, excluded from cited count.
- **Three-count tracking** — sent / received / cited in audit log.
- **Retry once after 3s** — then log. 3 consecutive failures across sources → stop.
- **Graceful degradation** — single source failure → continue with rest. Never fail the whole run on one source.
Workflow
# A. Pre-flight (post-intake)
python ../skills/pulse/scripts/time_window_calculator.py --window 30d
python ../skills/pulse/scripts/topic_slug_generator.py --topic "<topic>" --date $(date +%Y-%m-%d)
python ../skills/pulse/scripts/citation_tracker.py --action start --session NAME
# B. Phases 1–3 (parallel, 1 q/sec per platform)
# Reddit: search.json sort=top&t=month + sort=new&t=month + top thread comments
# HN: Algolia stories + comments with timestamp filter
# Web: 2–3 targeted queries
# C. Phase 4 (optional, sequential): X/Twitter via Grok / X API / browser automation
# D. Synthesis: cross-platform pattern detection
# E. Output: file + chat + audit summary
python ../skills/pulse/scripts/citation_tracker.py --action close --session NAME
Stop Conditions
- All 4 phases complete (or Phase 4 skipped with note) → synthesize + deliver
- 3 consecutive failures across all sources → stop, report what was collected
- User says "stop" → produce partial briefing with what's been collected so far
Anti-Patterns Rejected
- Starting any search before Q1 (topic specificity) commits
- Batching intake questions
- Hardcoded URLs that won't survive API changes (note format, explain may evolve)
- Specific person/brand references
- Tight coupling to one X/Twitter interface
- Missing fallback behavior
- "Just use [specific tool]" without explaining what the tool does
- Citing training knowledge as session results
- Fabricating sources to fill out a section
Related
- Agent: [`cs-pulse`](../agents/cs-pulse.md)
- Skill: [`pulse`](../skills/pulse/SKILL.md)
- Source spec: [`megaprompts/01-pulse-megaprompt.md`](../../../megaprompts/01-pulse-megaprompt.md)
- Sibling research skills (after build): `/cs:litreview`, `/cs:grants`, `/cs:syllabus`, `/cs:patent`, `/cs:dossier`, `/cs:research` (router)
---
**Version:** 1.0.0 **Source:** Path-B direct conversion of `megaprompts/01-pulse-megaprompt.md`
Read more
name: "cs-pulse"
description: "/cs:pulse <topic> — Multi-source recency research. Grill-me intake (topic / angle / window / scope), then parallel Reddit + HN + Web (1 q/sec per platform), optional X/Twitter, cross-platform synthesis. Output: ${RESEARCH_DIR}/pulse/<slug>-<date>.md + full briefing in chat."/cs:pulse — Multi-Source Recency Research
**Command:** `/cs:pulse <topic>`
The `cs-pulse` persona takes the pulse of a topic across Reddit, Hacker News, the open web, and (optionally) X/Twitter — within a configurable recent window — and synthesizes a single coherent briefing.
When to Run
- "What are people saying about X right now?"
- Competitor research with recency flavor
- Trend discovery / tool comparisons / audience sentiment
- Pre-content-creation reconnaissance
The skill ALSO triggers automatically without `/cs:pulse` when you use trigger phrases:
- "pulse on [topic]"
- "what's happening with [topic]"
- "what are people saying about [topic]"
- "current conversation about [topic]"
- "take the pulse of [topic]"
- "trending: [topic]"
- "find me info on [topic]"
`/cs:pulse` is the explicit form.
Forcing Intake (2–4 Questions, One at a Time)
| Q | Asks | Why | |---|---|---| | Q1 | Topic specificity (1–2 sentences, no vague nouns) | Vague Q1 → vague briefing. Refuses "AI" / "tech" once. | | Q2 | Angle: trend / sentiment / problems / opportunities / comparison | Dictates which platform's voice weights more in synthesis. Default: trend. | | Q3 | Time window: 7 / 14 / 30 / 60 / 90 days | Default: 30. 7d = breaking, 90d = sustained shift. | | Q4 | Platform scope (skip any?) | Asked only when angle suggests some platforms off-target. Default: all. |
What You Get
# [TOPIC] — Pulse (Last [N] Days) *Generated: [DATE] | Angle: [trend|sentiment|problems|opportunities|comparison]* ## TL;DR [2-3 sentences] ## Reddit ### Top Posts ... ### What Reddit Is Saying ## Hacker News ### Notable Stories ... ### What HN Is Saying ## Web ### Key Sources ... ### What the Web Is Saying ## X/Twitter (if available) [Or: "Skipped — [reason]"] ## Cross-Platform Patterns ## Key Takeaways ## Content Angles (if applicable) --- *Audit:* Queries sent: N. Sources received: M. Sources cited: K.
Saved to `${RESEARCH_DIR}/pulse/<topic-slug>-<YYYY-MM-DD>.md` AND pasted in chat.
Discipline
- **One intake question per turn.** Never bundle.
- **Refuse vague Q1 once.** Push back with examples; deliver with caveat if user won't narrow.
- **Parallel Phases 1–3** — Reddit + HN + Web concurrent. Sequential within platform. 1 q/sec.
- **Source discipline** — cite only session-call results. `[Background]` for training knowledge, excluded from cited count.
- **Three-count tracking** — sent / received / cited in audit log.
- **Retry once after 3s** — then log. 3 consecutive failures across sources → stop.
- **Graceful degradation** — single source failure → continue with rest. Never fail the whole run on one source.
Workflow
# A. Pre-flight (post-intake) python ../skills/pulse/scripts/time_window_calculator.py --window 30d python ../skills/pulse/scripts/topic_slug_generator.py --topic "<topic>" --date $(date +%Y-%m-%d) python ../skills/pulse/scripts/citation_tracker.py --action start --session NAME # B. Phases 1–3 (parallel, 1 q/sec per platform) # Reddit: search.json sort=top&t=month + sort=new&t=month + top thread comments # HN: Algolia stories + comments with timestamp filter # Web: 2–3 targeted queries # C. Phase 4 (optional, sequential): X/Twitter via Grok / X API / browser automation # D. Synthesis: cross-platform pattern detection # E. Output: file + chat + audit summary python ../skills/pulse/scripts/citation_tracker.py --action close --session NAME
Stop Conditions
- All 4 phases complete (or Phase 4 skipped with note) → synthesize + deliver
- 3 consecutive failures across all sources → stop, report what was collected
- User says "stop" → produce partial briefing with what's been collected so far
Anti-Patterns Rejected
- Starting any search before Q1 (topic specificity) commits
- Batching intake questions
- Hardcoded URLs that won't survive API changes (note format, explain may evolve)
- Specific person/brand references
- Tight coupling to one X/Twitter interface
- Missing fallback behavior
- "Just use [specific tool]" without explaining what the tool does
- Citing training knowledge as session results
- Fabricating sources to fill out a section
Related
- Agent: [`cs-pulse`](../agents/cs-pulse.md)
- Skill: [`pulse`](../skills/pulse/SKILL.md)
- Source spec: [`megaprompts/01-pulse-megaprompt.md`](../../../megaprompts/01-pulse-megaprompt.md)
- Sibling research skills (after build): `/cs:litreview`, `/cs:grants`, `/cs:syllabus`, `/cs:patent`, `/cs:dossier`, `/cs:research` (router)
---
**Version:** 1.0.0 **Source:** Path-B direct conversion of `megaprompts/01-pulse-megaprompt.md`
362 production-ready Claude Code skills, plugins, and agent skills for 13 AI coding tools. The most comprehensive open-source library of Claude Code skills and agent plugins — also works with OpenAI Codex, Gemini CLI, Cursor, and 9 more coding agents.
Repo: alirezarezvani/claude-skills
Other commands on claude-skills.
- /focused-fix
Deep-dive feature repair — systematically fix an entire feature/module across all its files and dependencies. Usage: /focused-fix <feature-path>
Open command - /clean
Clean up merged branches locally and on remote, keeping only main, dev, and gh-pages.
Open command - /cm
Stage working tree changes and create a Conventional Commit (no push).
Open command - /cp
Stage, commit, and push the current branch following git governance rules.
Open command - /pr
Create a pull request from the current branch.
Open command - /plugin-audit
Comprehensive audit pipeline for skills, plugins, agents, and commands. Validates structure, quality, security, marketplace compliance, cross-platform compatibility, and ecosystem integration. Runs all built-in validation tools, invokes domain-appropriate agents for code review,
Open command

